Decision-Aware Learning for Global Health Supply Chains

Tsai-Hsuan (Angel) Chung, Phd Candidate at the Wharton School; Osbert Bastani, Penn School of Engineering; Francis Smart, PhD Candidate at the University of Montana; Jatu Abdulai*; Patrick Bayoh*; Musa Komeh*; Vahid Rostami*

Abstract: This proposal aims to develop and deploy novel methods that integrate machine learning and optimization to improve the efficiency and equity of global health supply chains in underserved communities. Current effort is targeted specifically towards distributing a limited budget of various essential medicines to 1000+ health facilities throughout Sierra Leone; we are in the process of piloting our approach. This work is in close partnership with the Sierra Leone National Medical Supplies Agency, the Sierra Leone Ministry of Health and Sanitation, an AI health startup Macro-Eyes, and Penn researchers.

*indicates researcher works in industry